160 related articles for article (PubMed ID: 11466801)
1. The performance of sample selection estimators to control for attrition bias.
Grasdal A
Health Econ; 2001 Jul; 10(5):385-98. PubMed ID: 11466801
[TBL] [Abstract][Full Text] [Related]
2. Assessing the impact of attrition in randomized controlled trials.
Hewitt CE; Kumaravel B; Dumville JC; Torgerson DJ;
J Clin Epidemiol; 2010 Nov; 63(11):1264-70. PubMed ID: 20573482
[TBL] [Abstract][Full Text] [Related]
3. Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial.
Leon AC; Demirtas H; Hedeker D
Clin Trials; 2007; 4(5):540-7. PubMed ID: 17942469
[TBL] [Abstract][Full Text] [Related]
4. Attrition in randomized controlled clinical trials: methodological issues in psychopharmacology.
Leon AC; Mallinckrodt CH; Chuang-Stein C; Archibald DG; Archer GE; Chartier K
Biol Psychiatry; 2006 Jun; 59(11):1001-5. PubMed ID: 16503329
[TBL] [Abstract][Full Text] [Related]
5. Are we missing anything? Pursuing research on attrition.
Marcellus L
Can J Nurs Res; 2004 Sep; 36(3):82-98. PubMed ID: 15551664
[TBL] [Abstract][Full Text] [Related]
6. Adjusting for observable selection bias in block randomized trials.
Ivanova A; Barrier RC; Berger VW
Stat Med; 2005 May; 24(10):1537-46. PubMed ID: 15723426
[TBL] [Abstract][Full Text] [Related]
7. Comparison of data analysis strategies for intent-to-treat analysis in pre-test-post-test designs with substantial dropout rates.
Salim A; Mackinnon A; Christensen H; Griffiths K
Psychiatry Res; 2008 Sep; 160(3):335-45. PubMed ID: 18718673
[TBL] [Abstract][Full Text] [Related]
8. Bias in clinical intervention research.
Gluud LL
Am J Epidemiol; 2006 Mar; 163(6):493-501. PubMed ID: 16443796
[TBL] [Abstract][Full Text] [Related]
9. Improving participant selection in disease management programmes: insights gained from propensity score stratification.
Linden A; Adams JL
J Eval Clin Pract; 2008 Oct; 14(5):914-8. PubMed ID: 19018926
[TBL] [Abstract][Full Text] [Related]
10. Methods for the analysis of binary outcome results in the presence of missing data.
Delucchi KL
J Consult Clin Psychol; 1994 Jun; 62(3):569-75. PubMed ID: 8063983
[TBL] [Abstract][Full Text] [Related]
11. Estimating age change in list recall in asset and health dynamics of the oldest-old: the effects of attrition bias and missing data treatment.
Kennison RF; Zelinski EM
Psychol Aging; 2005 Sep; 20(3):460-75. PubMed ID: 16248705
[TBL] [Abstract][Full Text] [Related]
12. Investigating patient exclusion bias in meta-analysis.
Tierney JF; Stewart LA
Int J Epidemiol; 2005 Feb; 34(1):79-87. PubMed ID: 15561753
[TBL] [Abstract][Full Text] [Related]
13. Dropout rates in placebo-controlled and active-control clinical trials of antipsychotic drugs: a meta-analysis.
Kemmler G; Hummer M; Widschwendter C; Fleischhacker WW
Arch Gen Psychiatry; 2005 Dec; 62(12):1305-12. PubMed ID: 16330718
[TBL] [Abstract][Full Text] [Related]
14. Does analysis using "last observation carried forward" introduce bias in dementia research?
Molnar FJ; Hutton B; Fergusson D
CMAJ; 2008 Oct; 179(8):751-3. PubMed ID: 18838445
[No Abstract] [Full Text] [Related]
15. Sample size determination for assessing equivalence based on proportion ratio under a randomized trial with non-compliance and missing outcomes.
Lui KJ; Chang KC
Stat Med; 2008 Jan; 27(1):47-67. PubMed ID: 17708514
[TBL] [Abstract][Full Text] [Related]
16. Pseudo cluster randomization dealt with selection bias and contamination in clinical trials.
Teerenstra S; Melis RJ; Peer PG; Borm GF
J Clin Epidemiol; 2006 Apr; 59(4):381-6. PubMed ID: 16549260
[TBL] [Abstract][Full Text] [Related]
17. [Meta-analysis of the Italian studies on short-term effects of air pollution].
Biggeri A; Bellini P; Terracini B;
Epidemiol Prev; 2001; 25(2 Suppl):1-71. PubMed ID: 11515188
[TBL] [Abstract][Full Text] [Related]
18. Influence of treatment preferences on validity: a review.
Sidani S; Miranda J; Epstein D; Fox M
Can J Nurs Res; 2009 Dec; 41(4):52-67. PubMed ID: 20191713
[TBL] [Abstract][Full Text] [Related]
19. The journal impact factor as a predictor of trial quality and outcomes: cohort study of hepatobiliary randomized clinical trials.
Gluud LL; Sørensen TI; Gøtzsche PC; Gluud C
Am J Gastroenterol; 2005 Nov; 100(11):2431-5. PubMed ID: 16279896
[TBL] [Abstract][Full Text] [Related]
20. Differential loss of participants does not necessarily cause selection bias.
Carter KN; Imlach-Gunasekara F; McKenzie SK; Blakely T
Aust N Z J Public Health; 2012 Jun; 36(3):218-22. PubMed ID: 22672026
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
